class_docstr: Normlize image by given mean and std.
class_docstr_tok: ["Normlize","image","by","given","mean","and","std","."]
code: def __call__(self, sample):
      sample["image"] = (sample["image"] - self.__mean) / self.__std
  
      return sample
  
file_path: colossalai/examples/images/diffusion/ldm/modules/midas/midas/transforms.py
imports: import math
  import cv2
  import numpy
label_desc: Use image node_id 2 for calling the NormalizeImage obj's underlying member method code with example usage: obj.__call__(sample) and returns: sample